Research bibliography
Publications and scholarly work
19 publication records spanning medical imaging, artificial intelligence, clinical prediction, segmentation, and biomedical engineering.
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Showing all 19 records
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Spectral Adapters for Segment Anything Model-based Segmentation of Colorectal Liver Metastases in Computed Tomography
arXiv:2609.11703 [cs.CV] (2026). Version 1, submitted 10 September 2026.
- colorectal liver metastases
- computed tomography
- Segment Anything Model
- spectral adapters
- DiSECT
- SiGA
- parameter-efficient fine-tuning
- medical image segmentation
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Improving Preoperative Risk Stratification in Colorectal Liver Metastases: A Multi-Institutional Evaluation of Multimodal Prediction Models
Scientific Reports (2026). Published 14 July 2026.
- colorectal liver metastases
- multimodal prediction
- radiomics
- clinical risk stratification
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Radiomic Carotid Plaque Features Integrated into Machine Learning Models for Cardiovascular Risk Prediction
Ultrasound in Medicine & Biology. Corrected proof online 12 June 2026.
- carotid plaque
- radiomics
- cardiovascular risk
- machine learning
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Parameter-Efficient Fine-Tuning of Foundation Models for Liver Tumor Segmentation in CT
Medical Imaging 2026: Computer-Aided Diagnosis, Proceedings of SPIE 13926, 1392612.
- foundation models
- parameter-efficient fine-tuning
- liver tumor segmentation
- computed tomography
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Self-Supervised Transformer-Based Pipeline for Liver Tumor Segmentation and Type Classification
JCO Clinical Cancer Informatics 10 (2026), e2500135.
- self-supervised learning
- vision transformers
- liver tumor segmentation
- tumor classification
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Radiomic Signatures from Baseline CT Predict Chemotherapy Response in Unresectable Colorectal Liver Metastases
Journal of Medical Imaging 13(1) (2026), 014505.
- radiomics
- chemotherapy response
- colorectal liver metastases
- computed tomography
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The Search for CT Imaging Subtypes of Colorectal Liver Metastases and the Impacts of Slice Thickness
Medical Imaging 2025: Computer-Aided Diagnosis, Proceedings of SPIE 13407, 134071I.
- colorectal liver metastases
- imaging subtypes
- slice thickness
- computed tomography
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Predicting Response to Therapy in Pancreatic Ductal Adenocarcinoma Using Convolutional Neural Networks
Medical Imaging 2025: Computer-Aided Diagnosis, Proceedings of SPIE 13407, 134071C.
- pancreatic ductal adenocarcinoma
- treatment response
- convolutional neural networks
- computed tomography
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Performance Evaluation of a Stacked Classifier for Predicting Treatment Response in Unresectable Colorectal Liver Metastases
Medical Imaging 2025: Computer-Aided Diagnosis, Proceedings of SPIE 13407, 134071P.
- colorectal liver metastases
- treatment response
- stacked classifier
- machine learning
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Parameter-Efficient Fine-Tuning and Few-Shot Learning of Multiscale Vision Transformers for Liver Tumour Segmentation in CT
Medical Imaging 2025: Computer-Aided Diagnosis, Proceedings of SPIE 13407, 1340738.
- parameter-efficient fine-tuning
- few-shot learning
- multiscale vision transformers
- liver tumor segmentation
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Leveraging Persistent Homology for Liver Tumour Classification
Medical Imaging 2025: Computer-Aided Diagnosis, Proceedings of SPIE 13407, 134071Q.
- persistent homology
- topological data analysis
- liver tumor classification
- medical imaging
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Dilated Convolutional Transformer-Based Segmentation for Primary and Secondary Liver Cancers Tumour: A Comparative Study
IMNO 2024 Conference, Mississauga, Canada (2024).
- dilated convolution
- transformers
- liver cancer
- tumor segmentation
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Multi-modal Brain Tumour Segmentation Using Transformer with Optimal Patch Size
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, Lecture Notes in Computer Science 13769, 195–204 (2023). BrainLes 2022; first online 18 July 2023.
- brain tumor segmentation
- vision transformers
- patch size
- multimodal MRI
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Leveraging Contrastive Learning with SimSiam for the Classification of Primary and Secondary Liver Cancers
Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops, Lecture Notes in Computer Science 14394, 311–321 (2023). First online 3 February 2024.
- contrastive learning
- SimSiam
- liver cancer classification
- self-supervised learning
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Towards Optimal Patch Size in Vision Transformers for Tumor Segmentation
Multiscale Multimodal Medical Imaging, Lecture Notes in Computer Science 13594, 110–120 (2022).
- vision transformers
- patch size
- tumor segmentation
- medical imaging
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An Innovative Smart Package for Liquid Flow Meters
2017 Iranian Conference on Electrical Engineering (ICEE), 158–163.
- liquid flow meters
- embedded systems
- RFID
- remote monitoring
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A Novel Image Encryption Algorithm Based on Discrete Wavelet Transform Using Two-Dimensional Logistic Map
2016 24th Iranian Conference on Electrical Engineering (ICEE), 1785–1790.
- image encryption
- discrete wavelet transform
- logistic map
- chaos-based cryptography
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A Novel FPGA Design of a High Dynamic Human Tracking System Using Particle Filter
2016 24th Iranian Conference on Electrical Engineering (ICEE), 1043–1048.
- FPGA
- human tracking
- particle filter
- high-dynamic systems
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On Design of Carrier Synchronization System Using Bayesian Filtering Framework
7th Iranian Conference on Electrical and Electronics Engineering, Gonabad, Iran, 19–20 August 2015.
- carrier synchronization
- Bayesian filtering
- extended Kalman filter
- particle filter
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